Pith Number
pith:PQRIRBQJ
pith:2022:PQRIRBQJP3GDIVSN2IGZCC2BXM
not attested
not anchored
not stored
refs pending
Will Large-scale Generative Models Corrupt Future Datasets?
arxiv:2211.08095 v2 · 2022-11-15 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PQRIRBQJP3GDIVSN2IGZCC2BXM}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
· sign in to
claim
4
Citations
5
Replications
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Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Receipt and verification
| First computed | 2026-07-05T06:39:50.347795Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7c228886097ecc34564dd20d910b41bb0deac79b7870178958d70a2be2f77ed6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PQRIRBQJP3GDIVSN2IGZCC2BXM \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 7c228886097ecc34564dd20d910b41bb0deac79b7870178958d70a2be2f77ed6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "47d81450bc66df4ab1857578b8143d08a569da94bb6b1cf79be70aefa58dbf66",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-11-15T12:25:33Z",
"title_canon_sha256": "24c6a0afc5254756c269f3c0860784da17d5560a8ac9a2b3d50d3703d1d601ec"
},
"schema_version": "1.0",
"source": {
"id": "2211.08095",
"kind": "arxiv",
"version": 2
}
}